Staff/Senior DevOps Consultant - SRE (BI & Data Ecosystems)

Company Overview:

10Pearls is a global, purpose-driven AI-Native digital engineering partner helping businesses re-imagine, ‎digitalize, and accelerate. As an end-to-end digital technology partner, 10Pearls helps businesses create future-proof, ‎transformative ‎digital products that leverage emerging technologies. ‎10Pearls' clients ‎include Global 2000 enterprises, high growth mid-size ‎businesses, and some of the most exciting ‎start-ups from industries like healthcare, fintech, ‎energy, education, ‎real estate, retail, and hi-tech. ‎Headquartered in the Washington DC metro area, 10Pearls has product engineering and ‎software development centers in North America, Latin America, Europe, and South Asia. To learn more, visit .

Role

We are seeking a highly skilled Senior Site Reliability Engineer (BI & Data Ecosystems) to join our Cloud Infrastructure & Data Engineering team. The ideal candidate will have strong hands-on experience with GCP and AWS, Kubernetes/GKE, Terraform, data platforms, and BI infrastructure. This role will focus on building and maintaining reliable, secure, scalable cloud infrastructure supporting data and analytics ecosystems.

Responsibilities

• Manage and optimize GCP and AWS infrastructure, including GKE, BigQuery, Cloud Storage, Dataflow, Cloud Composer/Airflow, Cloud Run, Compute Engine, Cloud SQL, EC2, and S3.
• Operate and maintain production GKE/Kubernetes environments, including networking, security, scaling, and upgrades.
• Build and maintain infrastructure using Terraform and Infrastructure-as-Code best practices.
• Design and improve CI/CD pipelines using GitLab CI and/or GitHub Actions.
• Support Data Lakehouse architecture, data platforms, governance, and analytics workloads.
• Maintain and optimize BI platforms such as Qlik Sense, Tableau, and Power BI.
• Implement monitoring, logging, alerting, and observability using Grafana and Cloud Operations Suite.
• Ensure strong IAM, encryption, network security, and access-control practices.
• Develop automation using Python, Bash, or Go.
• Participate in incident response, troubleshooting, performance optimization, and reliability improvements.

Requirements

• 5+ years of experience in SRE, DevOps, Cloud Infrastructure, or Platform Engineering.
• Deep hands-on experience with GCP and AWS.
• Strong Kubernetes/GKE experience, including networking and security.
• Experience with BigQuery, Cloud Storage, Dataflow, Cloud Composer/Airflow, and Cloud SQL.
• Strong knowledge of Data Lakehouse architecture and governance.
• Hands-on experience with Terraform.
• Experience with GitLab CI and/or GitHub Actions.
• Experience with Grafana and cloud monitoring/observability.
• Experience supporting Qlik Sense, Tableau, or Power BI infrastructure.
• Strong understanding of IAM, encryption, and network security.
• Proficiency in Python, Bash, or Go.